Marco Trincavelli

Örebro University

Papers

17

Total Citations

665

H-Index

13

About

Marco Trincavelli is a pioneering researcher in mobile robotics and environmental sensing, whose work has fundamentally advanced the field of robotic olfaction — the science of equipping robots with gas-sensing capabilities. His most celebrated contribution, the Kernel DM+V algorithm (2009, 153 citations), established a robust statistical framework for modeling gas distributions in two-dimensional space, becoming a cornerstone reference for researchers in the field. Building on this foundation, Trincavelli systematically tackled increasingly complex real-world challenges: localizing gas emission sources on landfill sites, discriminating between multiple chemical compounds in heterogeneous environments, and developing coverage planning strategies for remote gas sensing. A particularly notable achievement is his development of Gasbot (2013), an autonomous robotic platform designed to detect methane leaks in landfills and biogas facilities using 3D sensing and gas tomography principles. His bio-inspired approaches to gas source localization further demonstrate his interdisciplinary creativity, drawing on animal behavior to solve computationally demanding navigation problems. Across more than ten influential publications accumulating over 580 citations, Trincavelli has consistently bridged theoretical algorithm design with practical environmental monitoring applications, making autonomous gas detection both scientifically rigorous and industrially viable.

Research Focus

Key Achievements

13
H-Index
17
Papers
665
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
A statistical approach to gas distribution modelling with mobile robots - The Kernel DM+V algorithm
153 citations · 2009
📈 Most Prolific Year: 2009 (3 Papers)
🤝 Key Collaborators: 22
🏛 Institutions: Örebro University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago